A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

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Similar words to bagpipes in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
bagpipes (0) - 10 freq
bagpiper (1) - 2 freq
bagpipe (1) - 1 freq
bagpipers (1) - 1 freq
bagpie (2) - 1 freq
magpies (2) - 1 freq
bagpype's (2) - 1 freq
blawpipes (2) - 2 freq
baggies (2) - 7 freq
bathites (3) - 1 freq
banties (3) - 1 freq
nappies (3) - 9 freq
bogies (3) - 3 freq
buggies (3) - 3 freq
i'pipes (3) - 1 freq
baddies (3) - 3 freq
bawties (3) - 2 freq
cappies (3) - 1 freq
vampires (3) - 8 freq
raipes (3) - 1 freq
bandies (3) - 1 freq
bappie (3) - 1 freq
baines (3) - 1 freq
pipes (3) - 91 freq
blawpipe (3) - 1 freq
bagpipes (0) - 10 freq
bagpipers (2) - 1 freq
bagpipe (2) - 1 freq
bagpiper (2) - 2 freq
bagpype's (3) - 1 freq
baggies (4) - 7 freq
blawpipes (4) - 2 freq
bagpie (4) - 1 freq
magpies (4) - 1 freq
gappus (5) - 3 freq
cappies (5) - 1 freq
bappie (5) - 1 freq
pipes (5) - 91 freq
mappies (5) - 13 freq
gappas (5) - 2 freq
i'pipes (5) - 1 freq
glipes (5) - 8 freq
bogies (5) - 3 freq
nappies (5) - 9 freq
buggies (5) - 3 freq
bampots (6) - 8 freq
gypes (6) - 17 freq
byganes (6) - 2 freq
popes (6) - 1 freq
cuppies (6) - 1 freq
SoundEx code - B211
bagpipers - 1 freq
bagpype's - 1 freq
bagpiper - 2 freq
bagpipe - 1 freq
bagpipes - 10 freq
bjfef - 1 freq
MetaPhone code - BKPPS
bagpype's - 1 freq
bagpipes - 10 freq
BAGPIPES
Time to execute Levenshtein function - 0.177175 milliseconds
The Levenshtein distance is the number of characters you have to replace, insert or delete to transform one word into another, its useful for detecting typos and alternative spellings
Time to execute Double Levenshtein function - 0.323641 milliseconds
In a stroke of genius, this runs the Levenshtein function twice, once without vowels and adds the distance together, giving double weight to consonants.
Time to execute SoundEx function - 0.027245 milliseconds
Soundex is a phonetic algorithm for indexing names by sound, as pronounced in English. The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling.
Time to execute MetaPhone function - 0.036811 milliseconds
Metaphone is a phonetic algorithm, published by Lawrence Philips in 1990, for indexing words by their English pronunciation.[1] It fundamentally improves on the Soundex algorithm by using information about variations and inconsistencies in English spelling and pronunciation to produce a more accurate encoding, which does a better job of matching words and names which sound similar.
Time to execute Manually curated function - 0.000876 milliseconds
Manual Curation uses a lookup table / lexicon which has been created by hand which links words to their lemmas, and includes obvious typos and spelling variations. Not all words are covered.